Performance evaluation of image segmentation

• Tipo: Artigo em Revista Científica Internacional
• Data: 2006

Autores

Fernando Monteiro (Autor) FEUP; Aurélio Campilho (Autor) FEUP

Revista

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Título: INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION, AND VERIFICATION

Vol. 25

Páginas: 248-259

Indexação

ISI Proceedings

ISI Web of Knowledge - 8 Citações

ISI Web of Science

Scopus - 18 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrónica

Outras Informações

ID Authenticus: P-004-PX8

DOI: 10.1007/11867586_24

Abstract (EN): In spite of significant advances in image segmentation techniques, evaluation of these methods thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images that axe evaluated by some method, or it is otherwise left to subjective evaluation by the reader. We propose a new approach for evaluation of segmentation that takes into account not only the accuracy of the boundary localization of the created segments but also the under-segmentation and over-segmentation effects, regardless to the number of regions in each partition. In addition, it takes into account the way humans perceive visual information. This new metric can be applied both to automatically provide a ranking among different segmentation algorithms and to find an optimal set of input parameters of a given algorithm.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12